Abstract
This paper presents a non-numeric approach to uncertain reasoning by extending the incidence calculus. In parallel to the well known fuzzy, belief/plausibility, probability, and necessity/possibility measures, the corresponding classes of non-numeric functions are examined. A method of constructing non-numeric functions is discussed using the notion of compatibility relations. Non-numeric functions are used to interpret uncertain reasoning by providing possible-worlds semantics for both qualitative and quantitative methods. © 1995, Taylor & Francis Group, LLC. All rights reserved.
| Original language | English |
|---|---|
| Pages (from-to) | 343-359 |
| Journal | International Journal of General Systems |
| Volume | 23 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 1 Mar 1995 |
| Externally published | Yes |
Bibliographical note
Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].Research Keywords
- Belief/plausibility
- fuzzy measure
- incidence calculus
- interval structure
- necessity/ possibility
- non-numeric functions
- probability
- rough sets
- uncertain reasoning
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